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Utilizing intelligent spectrum technology to sense and identify anomalies in the electromagnetic space is of great significance for the efficient use of the electromagnetic space. In this paper, a method for intelligent sensing and identification of anomalies in spectrum with alpha\u2010stable noise is proposed. First, we use a delayed feedback network (DFN) to suppress alpha\u2010stable noise. Then, we use a long short\u2010term memory (LSTM) autoencoder\u2010based attention mechanism to sense anomaly. Finally, we use the deep forest model to identify abnormal spectrum. 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